Dataset statistics
| Number of variables | 14 |
|---|---|
| Number of observations | 4000 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 437.6 KiB |
| Average record size in memory | 112.0 B |
Variable types
| Numeric | 5 |
|---|---|
| Categorical | 8 |
| DateTime | 1 |
days_since_last_call is highly correlated with num_contacts_prev | High correlation |
num_contacts_prev is highly correlated with days_since_last_call | High correlation |
prev_call_duration is highly correlated with subs_deposit | High correlation |
days_since_last_call is highly correlated with num_contacts_prev | High correlation |
num_contacts_prev is highly correlated with days_since_last_call | High correlation |
subs_deposit is highly correlated with prev_call_duration | High correlation |
days_since_last_call is highly correlated with num_contacts_prev | High correlation |
num_contacts_prev is highly correlated with days_since_last_call | High correlation |
has_housing_loan is highly correlated with has_personal_loan | High correlation |
marital is highly correlated with age_bracket | High correlation |
cpi is highly correlated with contact_date | High correlation |
client_id is highly correlated with contact_date | High correlation |
job is highly correlated with education | High correlation |
education is highly correlated with job | High correlation |
contact_date is highly correlated with cpi and 1 other fields | High correlation |
poutcome is highly correlated with num_contacts_prev and 1 other fields | High correlation |
has_personal_loan is highly correlated with has_housing_loan | High correlation |
num_contacts_prev is highly correlated with poutcome and 1 other fields | High correlation |
days_since_last_call is highly correlated with poutcome and 1 other fields | High correlation |
age_bracket is highly correlated with marital | High correlation |
has_housing_loan is highly correlated with has_personal_loan | High correlation |
has_personal_loan is highly correlated with has_housing_loan | High correlation |
client_id has unique values | Unique |
num_contacts_prev has 3219 (80.5%) zeros | Zeros |
Reproduction
| Analysis started | 2022-04-19 05:12:09.545437 |
|---|---|
| Analysis finished | 2022-04-19 05:15:44.309119 |
| Duration | 3 minutes and 34.76 seconds |
| Software version | pandas-profiling v3.0.0 |
| Download configuration | config.json |
| Distinct | 4000 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 22430.64275 |
| Minimum | 17 |
|---|---|
| Maximum | 41186 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 31.4 KiB |
Quantile statistics
| Minimum | 17 |
|---|---|
| 5-th percentile | 2543.9 |
| Q1 | 12408.25 |
| median | 23336.5 |
| Q3 | 32990 |
| 95-th percentile | 39701.3 |
| Maximum | 41186 |
| Range | 41169 |
| Interquartile range (IQR) | 20581.75 |
Descriptive statistics
| Standard deviation | 12052.91754 |
|---|---|
| Coefficient of variation (CV) | 0.5373416034 |
| Kurtosis | -1.20571 |
| Mean | 22430.64275 |
| Median Absolute Deviation (MAD) | 10169 |
| Skewness | -0.1650511913 |
| Sum | 89722571 |
| Variance | 145272821.2 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 41020 | 1 | < 0.1% |
| 1527 | 1 | < 0.1% |
| 22819 | 1 | < 0.1% |
| 27600 | 1 | < 0.1% |
| 37245 | 1 | < 0.1% |
| 22628 | 1 | < 0.1% |
| 28759 | 1 | < 0.1% |
| 33035 | 1 | < 0.1% |
| 22012 | 1 | < 0.1% |
| 35763 | 1 | < 0.1% |
| Other values (3990) | 3990 |
| Value | Count | Frequency (%) |
| 17 | 1 | |
| 53 | 1 | |
| 68 | 1 | |
| 88 | 1 | |
| 101 | 1 | |
| 115 | 1 | |
| 139 | 1 | |
| 180 | 1 | |
| 192 | 1 | |
| 238 | 1 |
| Value | Count | Frequency (%) |
| 41186 | 1 | |
| 41185 | 1 | |
| 41181 | 1 | |
| 41167 | 1 | |
| 41163 | 1 | |
| 41148 | 1 | |
| 41133 | 1 | |
| 41131 | 1 | |
| 41118 | 1 | |
| 41103 | 1 |
| Distinct | 4 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 31.4 KiB |
| 25-40 | |
|---|---|
| 41-60 | |
| 18-24 | 148 |
| 60+ | 147 |
Length
| Max length | 5 |
|---|---|
| Median length | 5 |
| Mean length | 4.9265 |
| Min length | 3 |
Characters and Unicode
| Total characters | 19706 |
|---|---|
| Distinct characters | 9 |
| Distinct categories | 3 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 41-60 |
|---|---|
| 2nd row | 60+ |
| 3rd row | 41-60 |
| 4th row | 25-40 |
| 5th row | 18-24 |
Common Values
| Value | Count | Frequency (%) |
| 25-40 | 2161 | |
| 41-60 | 1544 | |
| 18-24 | 148 | 3.7% |
| 60+ | 147 | 3.7% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 25-40 | 2161 | |
| 41-60 | 1544 | |
| 18-24 | 148 | 3.7% |
| 60 | 147 | 3.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| 4 | 3853 | |
| - | 3853 | |
| 0 | 3852 | |
| 2 | 2309 | |
| 5 | 2161 | |
| 1 | 1692 | |
| 6 | 1691 | |
| 8 | 148 | 0.8% |
| + | 147 | 0.7% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 15706 | |
| Dash Punctuation | 3853 | 19.6% |
| Math Symbol | 147 | 0.7% |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 4 | 3853 | |
| 0 | 3852 | |
| 2 | 2309 | |
| 5 | 2161 | |
| 1 | 1692 | |
| 6 | 1691 | |
| 8 | 148 | 0.9% |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 3853 |
Math Symbol
| Value | Count | Frequency (%) |
| + | 147 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 19706 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 4 | 3853 | |
| - | 3853 | |
| 0 | 3852 | |
| 2 | 2309 | |
| 5 | 2161 | |
| 1 | 1692 | |
| 6 | 1691 | |
| 8 | 148 | 0.8% |
| + | 147 | 0.7% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 19706 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 4 | 3853 | |
| - | 3853 | |
| 0 | 3852 | |
| 2 | 2309 | |
| 5 | 2161 | |
| 1 | 1692 | |
| 6 | 1691 | |
| 8 | 148 | 0.8% |
| + | 147 | 0.7% |
| Distinct | 7 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 31.4 KiB |
| white-collar | |
|---|---|
| blue-collar | |
| technician | |
| other | |
| pink-collar | |
| Other values (2) |
Length
| Max length | 13 |
|---|---|
| Median length | 11 |
| Mean length | 10.532 |
| Min length | 5 |
Characters and Unicode
| Total characters | 42128 |
|---|---|
| Distinct characters | 21 |
| Distinct categories | 2 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | white-collar |
|---|---|
| 2nd row | other |
| 3rd row | white-collar |
| 4th row | technician |
| 5th row | white-collar |
Common Values
| Value | Count | Frequency (%) |
| white-collar | 1366 | |
| blue-collar | 769 | |
| technician | 640 | |
| other | 503 | 12.6% |
| pink-collar | 455 | 11.4% |
| self-employed | 153 | 3.8% |
| entrepreneur | 114 | 2.9% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| white-collar | 1366 | |
| blue-collar | 769 | |
| technician | 640 | |
| other | 503 | 12.6% |
| pink-collar | 455 | 11.4% |
| self-employed | 153 | 3.8% |
| entrepreneur | 114 | 2.9% |
Most occurring characters
| Value | Count | Frequency (%) |
| l | 6255 | |
| e | 4193 | |
| c | 3870 | |
| r | 3435 | |
| o | 3246 | |
| a | 3230 | |
| i | 3101 | |
| - | 2743 | 6.5% |
| t | 2623 | 6.2% |
| h | 2509 | 6.0% |
| Other values (11) | 6923 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 39385 | |
| Dash Punctuation | 2743 | 6.5% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| l | 6255 | |
| e | 4193 | |
| c | 3870 | |
| r | 3435 | |
| o | 3246 | |
| a | 3230 | |
| i | 3101 | |
| t | 2623 | |
| h | 2509 | |
| n | 1963 | 5.0% |
| Other values (10) | 4960 |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 2743 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 39385 | |
| Common | 2743 | 6.5% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| l | 6255 | |
| e | 4193 | |
| c | 3870 | |
| r | 3435 | |
| o | 3246 | |
| a | 3230 | |
| i | 3101 | |
| t | 2623 | |
| h | 2509 | |
| n | 1963 | 5.0% |
| Other values (10) | 4960 |
Common
| Value | Count | Frequency (%) |
| - | 2743 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 42128 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| l | 6255 | |
| e | 4193 | |
| c | 3870 | |
| r | 3435 | |
| o | 3246 | |
| a | 3230 | |
| i | 3101 | |
| - | 2743 | 6.5% |
| t | 2623 | 6.2% |
| h | 2509 | 6.0% |
| Other values (11) | 6923 |
| Distinct | 4 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 31.4 KiB |
| married | |
|---|---|
| single | |
| divorced | |
| unknown | 8 |
Length
| Max length | 8 |
|---|---|
| Median length | 7 |
| Mean length | 6.8165 |
| Min length | 6 |
Characters and Unicode
| Total characters | 27266 |
|---|---|
| Distinct characters | 16 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | divorced |
|---|---|
| 2nd row | divorced |
| 3rd row | married |
| 4th row | single |
| 5th row | single |
Common Values
| Value | Count | Frequency (%) |
| married | 2374 | |
| single | 1176 | |
| divorced | 442 | 11.1% |
| unknown | 8 | 0.2% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| married | 2374 | |
| single | 1176 | |
| divorced | 442 | 11.1% |
| unknown | 8 | 0.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| r | 5190 | |
| i | 3992 | |
| e | 3992 | |
| d | 3258 | |
| m | 2374 | |
| a | 2374 | |
| n | 1200 | 4.4% |
| s | 1176 | 4.3% |
| g | 1176 | 4.3% |
| l | 1176 | 4.3% |
| Other values (6) | 1358 | 5.0% |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 27266 |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| r | 5190 | |
| i | 3992 | |
| e | 3992 | |
| d | 3258 | |
| m | 2374 | |
| a | 2374 | |
| n | 1200 | 4.4% |
| s | 1176 | 4.3% |
| g | 1176 | 4.3% |
| l | 1176 | 4.3% |
| Other values (6) | 1358 | 5.0% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 27266 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| r | 5190 | |
| i | 3992 | |
| e | 3992 | |
| d | 3258 | |
| m | 2374 | |
| a | 2374 | |
| n | 1200 | 4.4% |
| s | 1176 | 4.3% |
| g | 1176 | 4.3% |
| l | 1176 | 4.3% |
| Other values (6) | 1358 | 5.0% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 27266 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| r | 5190 | |
| i | 3992 | |
| e | 3992 | |
| d | 3258 | |
| m | 2374 | |
| a | 2374 | |
| n | 1200 | 4.4% |
| s | 1176 | 4.3% |
| g | 1176 | 4.3% |
| l | 1176 | 4.3% |
| Other values (6) | 1358 | 5.0% |
| Distinct | 6 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 31.4 KiB |
| bachelors | |
|---|---|
| secondary | |
| senior_secondary | |
| masters | |
| unknown |
Length
| Max length | 16 |
|---|---|
| Median length | 9 |
| Mean length | 10.24 |
| Min length | 7 |
Characters and Unicode
| Total characters | 40960 |
|---|---|
| Distinct characters | 19 |
| Distinct categories | 2 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | bachelors |
|---|---|
| 2nd row | secondary |
| 3rd row | bachelors |
| 4th row | senior_secondary |
| 5th row | bachelors |
Common Values
| Value | Count | Frequency (%) |
| bachelors | 1274 | |
| secondary | 1114 | |
| senior_secondary | 908 | |
| masters | 524 | |
| unknown | 176 | 4.4% |
| illiterate | 4 | 0.1% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| bachelors | 1274 | |
| secondary | 1114 | |
| senior_secondary | 908 | |
| masters | 524 | |
| unknown | 176 | 4.4% |
| illiterate | 4 | 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| s | 5252 | |
| e | 4736 | |
| r | 4732 | |
| o | 4380 | |
| a | 3824 | |
| n | 3458 | |
| c | 3296 | |
| d | 2022 | 4.9% |
| y | 2022 | 4.9% |
| l | 1282 | 3.1% |
| Other values (9) | 5956 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 40052 | |
| Connector Punctuation | 908 | 2.2% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| s | 5252 | |
| e | 4736 | |
| r | 4732 | |
| o | 4380 | |
| a | 3824 | |
| n | 3458 | |
| c | 3296 | |
| d | 2022 | 5.0% |
| y | 2022 | 5.0% |
| l | 1282 | 3.2% |
| Other values (8) | 5048 |
Connector Punctuation
| Value | Count | Frequency (%) |
| _ | 908 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 40052 | |
| Common | 908 | 2.2% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| s | 5252 | |
| e | 4736 | |
| r | 4732 | |
| o | 4380 | |
| a | 3824 | |
| n | 3458 | |
| c | 3296 | |
| d | 2022 | 5.0% |
| y | 2022 | 5.0% |
| l | 1282 | 3.2% |
| Other values (8) | 5048 |
Common
| Value | Count | Frequency (%) |
| _ | 908 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 40960 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| s | 5252 | |
| e | 4736 | |
| r | 4732 | |
| o | 4380 | |
| a | 3824 | |
| n | 3458 | |
| c | 3296 | |
| d | 2022 | 4.9% |
| y | 2022 | 4.9% |
| l | 1282 | 3.1% |
| Other values (9) | 5956 |
| Distinct | 3 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 31.4 KiB |
| yes | |
|---|---|
| no | |
| unknown | 92 |
Length
| Max length | 7 |
|---|---|
| Median length | 3 |
| Mean length | 2.64375 |
| Min length | 2 |
Characters and Unicode
| Total characters | 10575 |
|---|---|
| Distinct characters | 8 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | yes |
|---|---|
| 2nd row | no |
| 3rd row | no |
| 4th row | yes |
| 5th row | no |
Common Values
| Value | Count | Frequency (%) |
| yes | 2115 | |
| no | 1793 | |
| unknown | 92 | 2.3% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| yes | 2115 | |
| no | 1793 | |
| unknown | 92 | 2.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| y | 2115 | |
| e | 2115 | |
| s | 2115 | |
| n | 2069 | |
| o | 1885 | |
| u | 92 | 0.9% |
| k | 92 | 0.9% |
| w | 92 | 0.9% |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 10575 |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| y | 2115 | |
| e | 2115 | |
| s | 2115 | |
| n | 2069 | |
| o | 1885 | |
| u | 92 | 0.9% |
| k | 92 | 0.9% |
| w | 92 | 0.9% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 10575 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| y | 2115 | |
| e | 2115 | |
| s | 2115 | |
| n | 2069 | |
| o | 1885 | |
| u | 92 | 0.9% |
| k | 92 | 0.9% |
| w | 92 | 0.9% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 10575 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| y | 2115 | |
| e | 2115 | |
| s | 2115 | |
| n | 2069 | |
| o | 1885 | |
| u | 92 | 0.9% |
| k | 92 | 0.9% |
| w | 92 | 0.9% |
| Distinct | 3 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 31.4 KiB |
| no | |
|---|---|
| yes | |
| unknown | 92 |
Length
| Max length | 7 |
|---|---|
| Median length | 2 |
| Mean length | 2.25825 |
| Min length | 2 |
Characters and Unicode
| Total characters | 9033 |
|---|---|
| Distinct characters | 8 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | no |
|---|---|
| 2nd row | yes |
| 3rd row | no |
| 4th row | yes |
| 5th row | no |
Common Values
| Value | Count | Frequency (%) |
| no | 3335 | |
| yes | 573 | 14.3% |
| unknown | 92 | 2.3% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| no | 3335 | |
| yes | 573 | 14.3% |
| unknown | 92 | 2.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| n | 3611 | |
| o | 3427 | |
| y | 573 | 6.3% |
| e | 573 | 6.3% |
| s | 573 | 6.3% |
| u | 92 | 1.0% |
| k | 92 | 1.0% |
| w | 92 | 1.0% |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 9033 |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| n | 3611 | |
| o | 3427 | |
| y | 573 | 6.3% |
| e | 573 | 6.3% |
| s | 573 | 6.3% |
| u | 92 | 1.0% |
| k | 92 | 1.0% |
| w | 92 | 1.0% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 9033 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| n | 3611 | |
| o | 3427 | |
| y | 573 | 6.3% |
| e | 573 | 6.3% |
| s | 573 | 6.3% |
| u | 92 | 1.0% |
| k | 92 | 1.0% |
| w | 92 | 1.0% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 9033 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| n | 3611 | |
| o | 3427 | |
| y | 573 | 6.3% |
| e | 573 | 6.3% |
| s | 573 | 6.3% |
| u | 92 | 1.0% |
| k | 92 | 1.0% |
| w | 92 | 1.0% |
| Distinct | 1032 |
|---|---|
| Distinct (%) | 25.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3871.14225 |
| Minimum | 2 |
|---|---|
| Maximum | 419900 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 31.4 KiB |
Quantile statistics
| Minimum | 2 |
|---|---|
| 5-th percentile | 50 |
| Q1 | 131 |
| median | 237 |
| Q3 | 461 |
| 95-th percentile | 1030.1 |
| Maximum | 419900 |
| Range | 419898 |
| Interquartile range (IQR) | 330 |
Descriptive statistics
| Standard deviation | 26080.54905 |
|---|---|
| Coefficient of variation (CV) | 6.737171452 |
| Kurtosis | 73.05096721 |
| Mean | 3871.14225 |
| Median Absolute Deviation (MAD) | 133 |
| Skewness | 8.09394563 |
| Sum | 15484569 |
| Variance | 680195038.9 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 72 | 20 | 0.5% |
| 159 | 19 | 0.5% |
| 165 | 19 | 0.5% |
| 131 | 19 | 0.5% |
| 164 | 19 | 0.5% |
| 157 | 18 | 0.4% |
| 76 | 17 | 0.4% |
| 156 | 17 | 0.4% |
| 161 | 16 | 0.4% |
| 187 | 16 | 0.4% |
| Other values (1022) | 3820 |
| Value | Count | Frequency (%) |
| 2 | 1 | < 0.1% |
| 3 | 1 | < 0.1% |
| 4 | 4 | |
| 5 | 2 | 0.1% |
| 6 | 6 | |
| 7 | 5 | |
| 8 | 3 | |
| 9 | 1 | < 0.1% |
| 10 | 4 | |
| 11 | 3 |
| Value | Count | Frequency (%) |
| 419900 | 1 | |
| 364300 | 1 | |
| 309400 | 1 | |
| 292600 | 1 | |
| 276900 | 1 | |
| 268000 | 1 | |
| 265300 | 1 | |
| 248600 | 1 | |
| 246200 | 1 | |
| 245600 | 1 |
days_since_last_call
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATION| Distinct | 24 |
|---|---|
| Distinct (%) | 0.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 903.15075 |
| Minimum | 0 |
|---|---|
| Maximum | 999 |
| Zeros | 5 |
| Zeros (%) | 0.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 31.4 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 6 |
| Q1 | 999 |
| median | 999 |
| Q3 | 999 |
| 95-th percentile | 999 |
| Maximum | 999 |
| Range | 999 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 293.323535 |
|---|---|
| Coefficient of variation (CV) | 0.3247780451 |
| Kurtosis | 5.478469293 |
| Mean | 903.15075 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | -2.734145111 |
| Sum | 3612603 |
| Variance | 86038.6962 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=24)
| Value | Count | Frequency (%) |
| 999 | 3614 | |
| 3 | 119 | 3.0% |
| 6 | 118 | 2.9% |
| 4 | 27 | 0.7% |
| 5 | 16 | 0.4% |
| 2 | 14 | 0.4% |
| 10 | 13 | 0.3% |
| 7 | 12 | 0.3% |
| 12 | 9 | 0.2% |
| 11 | 9 | 0.2% |
| Other values (14) | 49 | 1.2% |
| Value | Count | Frequency (%) |
| 0 | 5 | 0.1% |
| 1 | 6 | 0.1% |
| 2 | 14 | 0.4% |
| 3 | 119 | |
| 4 | 27 | 0.7% |
| 5 | 16 | 0.4% |
| 6 | 118 | |
| 7 | 12 | 0.3% |
| 8 | 5 | 0.1% |
| 9 | 9 | 0.2% |
| Value | Count | Frequency (%) |
| 999 | 3614 | |
| 27 | 1 | < 0.1% |
| 26 | 1 | < 0.1% |
| 25 | 1 | < 0.1% |
| 22 | 1 | < 0.1% |
| 18 | 1 | < 0.1% |
| 17 | 1 | < 0.1% |
| 16 | 3 | 0.1% |
| 15 | 3 | 0.1% |
| 14 | 4 | 0.1% |
num_contacts_prev
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONZEROS| Distinct | 7 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.272 |
| Minimum | 0 |
|---|---|
| Maximum | 6 |
| Zeros | 3219 |
| Zeros (%) | 80.5% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 31.4 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 2 |
| Maximum | 6 |
| Range | 6 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 0.643132494 |
|---|---|
| Coefficient of variation (CV) | 2.364457699 |
| Kurtosis | 11.57486418 |
| Mean | 0.272 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 3.035775148 |
| Sum | 1088 |
| Variance | 0.4136194049 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=7)
| Value | Count | Frequency (%) |
| 0 | 3219 | |
| 1 | 567 | 14.2% |
| 2 | 144 | 3.6% |
| 3 | 54 | 1.4% |
| 4 | 10 | 0.2% |
| 5 | 5 | 0.1% |
| 6 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 0 | 3219 | |
| 1 | 567 | 14.2% |
| 2 | 144 | 3.6% |
| 3 | 54 | 1.4% |
| 4 | 10 | 0.2% |
| 5 | 5 | 0.1% |
| 6 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 6 | 1 | < 0.1% |
| 5 | 5 | 0.1% |
| 4 | 10 | 0.2% |
| 3 | 54 | 1.4% |
| 2 | 144 | 3.6% |
| 1 | 567 | 14.2% |
| 0 | 3219 |
| Distinct | 3 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 31.4 KiB |
| nonexistent | |
|---|---|
| failure | |
| success |
Length
| Max length | 11 |
|---|---|
| Median length | 11 |
| Mean length | 10.219 |
| Min length | 7 |
Characters and Unicode
| Total characters | 40876 |
|---|---|
| Distinct characters | 13 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | success |
|---|---|
| 2nd row | success |
| 3rd row | nonexistent |
| 4th row | nonexistent |
| 5th row | nonexistent |
Common Values
| Value | Count | Frequency (%) |
| nonexistent | 3219 | |
| failure | 419 | 10.5% |
| success | 362 | 9.0% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| nonexistent | 3219 | |
| failure | 419 | 10.5% |
| success | 362 | 9.0% |
Most occurring characters
| Value | Count | Frequency (%) |
| n | 9657 | |
| e | 7219 | |
| t | 6438 | |
| s | 4305 | |
| i | 3638 | 8.9% |
| o | 3219 | 7.9% |
| x | 3219 | 7.9% |
| u | 781 | 1.9% |
| c | 724 | 1.8% |
| f | 419 | 1.0% |
| Other values (3) | 1257 | 3.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 40876 |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| n | 9657 | |
| e | 7219 | |
| t | 6438 | |
| s | 4305 | |
| i | 3638 | 8.9% |
| o | 3219 | 7.9% |
| x | 3219 | 7.9% |
| u | 781 | 1.9% |
| c | 724 | 1.8% |
| f | 419 | 1.0% |
| Other values (3) | 1257 | 3.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 40876 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| n | 9657 | |
| e | 7219 | |
| t | 6438 | |
| s | 4305 | |
| i | 3638 | 8.9% |
| o | 3219 | 7.9% |
| x | 3219 | 7.9% |
| u | 781 | 1.9% |
| c | 724 | 1.8% |
| f | 419 | 1.0% |
| Other values (3) | 1257 | 3.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 40876 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| n | 9657 | |
| e | 7219 | |
| t | 6438 | |
| s | 4305 | |
| i | 3638 | 8.9% |
| o | 3219 | 7.9% |
| x | 3219 | 7.9% |
| u | 781 | 1.9% |
| c | 724 | 1.8% |
| f | 419 | 1.0% |
| Other values (3) | 1257 | 3.1% |
| Distinct | 50 |
|---|---|
| Distinct (%) | 1.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 31.4 KiB |
| Minimum | 2018-01-03 00:00:00 |
|---|---|
| Maximum | 2018-07-12 00:00:00 |
Histogram with fixed size bins (bins=50)
| Distinct | 25 |
|---|---|
| Distinct (%) | 0.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 107.348378 |
| Minimum | 92.201 |
|---|---|
| Maximum | 947.67 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 31.4 KiB |
Quantile statistics
| Minimum | 92.201 |
|---|---|
| 5-th percentile | 92.431 |
| Q1 | 92.963 |
| median | 93.444 |
| Q3 | 93.994 |
| 95-th percentile | 94.465 |
| Maximum | 947.67 |
| Range | 855.469 |
| Interquartile range (IQR) | 1.031 |
Descriptive statistics
| Standard deviation | 107.8854692 |
|---|---|
| Coefficient of variation (CV) | 1.005003254 |
| Kurtosis | 56.62368257 |
| Mean | 107.348378 |
| Median Absolute Deviation (MAD) | 0.55 |
| Skewness | 7.654627887 |
| Sum | 429393.512 |
| Variance | 11639.27446 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=25)
| Value | Count | Frequency (%) |
| 93.994 | 559 | |
| 93.918 | 546 | |
| 92.893 | 520 | |
| 93.444 | 411 | |
| 94.465 | 354 | |
| 93.2 | 304 | |
| 93.075 | 290 | |
| 92.201 | 134 | 3.4% |
| 92.963 | 114 | 2.9% |
| 92.431 | 82 | 2.1% |
| Other values (15) | 686 |
| Value | Count | Frequency (%) |
| 92.201 | 134 | 3.4% |
| 92.379 | 45 | 1.1% |
| 92.431 | 82 | 2.1% |
| 92.469 | 36 | 0.9% |
| 92.649 | 67 | 1.7% |
| 92.713 | 31 | 0.8% |
| 92.843 | 50 | 1.2% |
| 92.893 | 520 | |
| 92.963 | 114 | 2.9% |
| 93.075 | 290 |
| Value | Count | Frequency (%) |
| 947.67 | 25 | 0.6% |
| 946.01 | 40 | 1.0% |
| 94.465 | 354 | |
| 94.215 | 74 | 1.8% |
| 94.199 | 57 | 1.4% |
| 94.055 | 45 | 1.1% |
| 94.027 | 54 | 1.4% |
| 93.994 | 559 | |
| 93.918 | 546 | |
| 93.876 | 48 | 1.2% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 31.4 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 4000 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 1 |
| 3rd row | 1 |
| 4th row | 0 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 2410 | |
| 1 | 1590 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0 | 2410 | |
| 1 | 1590 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 2410 | |
| 1 | 1590 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 4000 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 2410 | |
| 1 | 1590 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 4000 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 2410 | |
| 1 | 1590 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 4000 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 2410 | |
| 1 | 1590 |
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
First rows
| client_id | age_bracket | job | marital | education | has_housing_loan | has_personal_loan | prev_call_duration | days_since_last_call | num_contacts_prev | poutcome | contact_date | cpi | subs_deposit | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 41020 | 41-60 | white-collar | divorced | bachelors | yes | no | 283 | 3 | 1 | success | 2018-07-09 | 92.379 | 1 |
| 1 | 23720 | 60+ | other | divorced | secondary | no | yes | 169 | 6 | 2 | success | 2018-05-07 | 94.215 | 1 |
| 2 | 29378 | 41-60 | white-collar | married | bachelors | no | no | 552 | 999 | 0 | nonexistent | 2018-01-08 | 93.444 | 1 |
| 3 | 36636 | 25-40 | technician | single | senior_secondary | yes | yes | 206 | 999 | 0 | nonexistent | 2018-02-11 | 93.200 | 0 |
| 4 | 38229 | 18-24 | white-collar | single | bachelors | no | no | 341 | 999 | 0 | nonexistent | 2018-04-04 | 93.075 | 1 |
| 5 | 27202 | 25-40 | self-employed | married | secondary | no | no | 81 | 999 | 0 | nonexistent | 2018-06-08 | 93.444 | 0 |
| 6 | 1409 | 60+ | white-collar | married | bachelors | no | no | 1076 | 6 | 1 | success | 2018-07-05 | 92.893 | 1 |
| 7 | 24379 | 41-60 | other | married | senior_secondary | no | no | 133 | 999 | 0 | nonexistent | 2018-06-07 | 93.918 | 0 |
| 8 | 10036 | 25-40 | blue-collar | married | secondary | no | no | 253 | 999 | 1 | failure | 2018-03-05 | 92.893 | 0 |
| 9 | 18115 | 41-60 | self-employed | married | bachelors | no | no | 467 | 999 | 0 | nonexistent | 2018-01-06 | 94.465 | 1 |
Last rows
| client_id | age_bracket | job | marital | education | has_housing_loan | has_personal_loan | prev_call_duration | days_since_last_call | num_contacts_prev | poutcome | contact_date | cpi | subs_deposit | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3990 | 24211 | 25-40 | blue-collar | married | senior_secondary | yes | no | 159 | 999 | 0 | nonexistent | 2018-06-07 | 93.918 | 0 |
| 3991 | 28348 | 41-60 | pink-collar | married | secondary | no | no | 77 | 999 | 0 | nonexistent | 2018-07-08 | 93.444 | 0 |
| 3992 | 4739 | 25-40 | blue-collar | married | masters | yes | no | 418 | 999 | 0 | nonexistent | 2018-01-05 | 92.893 | 0 |
| 3993 | 2389 | 25-40 | blue-collar | divorced | secondary | no | no | 827 | 999 | 0 | nonexistent | 2018-07-05 | 92.893 | 1 |
| 3994 | 10248 | 25-40 | technician | single | secondary | yes | no | 13 | 999 | 0 | nonexistent | 2018-03-05 | 92.893 | 0 |
| 3995 | 7519 | 41-60 | entrepreneur | single | secondary | yes | no | 396 | 999 | 0 | nonexistent | 2018-02-05 | 92.893 | 1 |
| 3996 | 29822 | 41-60 | white-collar | married | bachelors | yes | no | 115 | 999 | 0 | nonexistent | 2018-01-08 | 93.444 | 0 |
| 3997 | 24462 | 25-40 | white-collar | married | senior_secondary | yes | no | 214 | 999 | 0 | nonexistent | 2018-06-07 | 93.918 | 0 |
| 3998 | 26089 | 25-40 | pink-collar | married | secondary | yes | no | 76 | 999 | 0 | nonexistent | 2018-02-07 | 93.918 | 0 |
| 3999 | 40631 | 25-40 | white-collar | single | bachelors | yes | no | 368 | 999 | 0 | nonexistent | 2018-04-09 | 92.379 | 0 |